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Director Data Engineering Jobs (NOW HIRING)

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

Learn more at www.cpicardgroup.com The Director of Data Engineering leads CPI Card Group's data engineering function and is accountable for building, operating, and scaling the company's cloud-native ...

POLYWOOD ® is looking for a Director of Data Engineering who thrives in a hands-on leadership environment and enjoys building scalable enterprise data platforms. This role is perfect for someone who ...

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

Job Summary We are seeking an accomplished Director of Data Engineering to lead AmeriLife's enterprise Data Engineering organization and serve as the technical leader for our Databricks platform.

Job Summary We are seeking an accomplished Director of Data Engineering to lead AmeriLife's enterprise Data Engineering organization and serve as the technical leader for our Databricks platform.

... Engineering, Data Architecture, Software Architecture, or Technology Leadership, with at least 3+ years in people management or dedicated technical leadership. * Direct experience leading modern ...

About the Role We're seeking a Director of Data Engineering to define the vision and execute the long-term strategy for our global data ecosystem. This is a foundational leadership role responsible ...

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

About the Role We're seeking a Director of Data Engineering to define the vision and execute the long-term strategy for our global data ecosystem. This is a foundational leadership role responsible ...

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

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$73K

$194.7K

$254K

How much do director data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for director data engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

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Infographic showing various Director Data Engineering job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Associate Director, Data Engineering

The Rockridge Group

Emeryville, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
Job Description
TITLE:Associate Director, Data Engineering
LOCATION:Emeryville, CA
POSITION:Full-time
We are seeking a Director of Data who can own the data strategy across our business and support these cutting-edge, data-driven technologies.
The Director of Data Engineering has a primary responsibility of leading the data analytics and data engineering departments, overseeing all activities, and ensuring alignment with the business’s vision and objectives. The ideal candidate will be able to begin hand-on work immediately to address challenges in our data infrastructure, including scaling databases (esp. Postgres and SQL Warehouse), create the architecture for a new data warehouse, and oversee the optimization, monitoring, and continuous improvement of our data systems.
They will develop and implement a Data Strategy for Client X. They will have the opportunity to build a data engineering team to manage our database administration, data processing, data security, and disaster recovery. They will work closely with stakeholders in R&D, DevOps, and our E-commerce business, and their role will contribute directly to Client X’s ability to deliver on a data-driven approach to synthetic biology.
Responsibilities:
  • Define and implement the Data Strategy for Client X
  • Driving implementation of data solutions, optimizing traditional RDBMS solutions, and developing modern cloud-based data architectures
  • Work with Information Security to secure the data footprint and help develop a secure data strategy
  • Oversee applications and integrations on large-scale data platforms (custom web applications running on Postgres and MS SQL, enterprise applications including SAP & NetSuite, data warehouses & data lakes, large-scale file storage) for reliability and scalability
  • Supervise and maintain the shared services that redesign the data processing pipelines and our data warehouse
  • Develop a cross functional Disaster Recovery and a Business Continuity Plan for the Client X data footprint
  • Engage with internal business stakeholders of all levels across the business, consult with them, and provide guidance for delivering and turning data into actionable information
  • Build a data engineering team to scale these efforts across the company
Qualifications:
  • Bachelor’s Degree in Computer Science, Information Technology, or related field - advanced degree or professional certifications a plus
  • 10+ years experience; or equivalent combination of post-bachelor’s education and experience
  • Proven experience as a data engineering lead and/or management role
  • Motivated self-starter who can manage and prioritize multiple projects simultaneously with a positive, can-do attitude.
  • Strong data analysis and problem-solving skills with a willingness to roll up one’s sleeves to get the job done.
  • Ability to build and maintain strong relationships with business users, software developers, other cross-functional co-workers, and outside partners.
  • Proficiency in SQL is required; python and java is preferred
  • Ability to translate between technical and non-technical stakeholders
  • Experience with hybrid (cloud/on-premise) data topologies is a must
  • Experience designing data lake and data warehouse architectures, preferably using modern cloud solutions
  • Hands-on experience implementing data transformation (ETL/ELT, etc.) best practices at scale, preferably using modern cloud solutions
  • Have a deep understanding of SQL and database architecture
  • Experience with both open source and off the shelf technologies
  • Exceptional English communication skills, both written and verbal. This includes listening skills and an open attitude toward constructive feedback.
  • Ability to work both with a global team and individually